Build Your Own AI Project Worksheet

AI for students lesson 23: Design a tiny AI project · Set 588 · 40 questions

AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.

1. 1.📦 Aarav collected 190 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
2. 2.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
3. 3.📋 Planning an AI project: which comes first — test on new photos or let it learn patterns? (a) test on new photos (b) let it learn patterns
4. 4.📋 Planning an AI project: which comes first — choose what to sort or tag each photo by type? (a) choose what to sort (b) tag each photo by type
5. 5.📋 Planning an AI project: which comes first — improve data, retest or calculate percent right? (a) improve data, retest (b) calculate percent right
6. 6.📦 Nisha collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
7. 7.🎯 Saanvi’s bird-song app was tested on 20 new bird songs and got 11 right. What is its accuracy in percent?
8. 8.📋 Planning an AI project: which comes first — improve data, retest or tag each photo by type? (a) improve data, retest (b) tag each photo by type
9. 9.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
10. 10.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 20 right and Model B got 19 right. How many percentage points more accurate is Model A?
11. 11.📋 Planning an AI project: which comes first — improve data, retest or test on new photos? (a) improve data, retest (b) test on new photos
12. 12.📦 Aarav collected 160 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
13. 13.📦 Ishaan collected 40 labelled handwritten letters for a handwriting reader and keeps one fifth of them for testing. How many are left for training?
14. 14.❌ Vihaan’s handwriting reader was tested on 19 new handwritten letters and got 15 right. How many did it get wrong?
15. 15.🎯 Tara’s leaf identifier was tested on 50 new leaf photos and got 25 right. What is its accuracy in percent?
16. 16.📋 Planning an AI project: which comes first — calculate percent right or improve data, retest? (a) calculate percent right (b) improve data, retest
17. 17.🧪 What is accuracy? (a) total × 2 (b) correct + total (c) total − correct (d) correct ÷ total × 100
18. 18.📋 Planning an AI project: which comes first — train the model or set aside test photos? (a) train the model (b) set aside test photos
19. 19.📋 Planning an AI project: which comes first — work out the accuracy or test on new photos? (a) work out the accuracy (b) test on new photos
20. 20.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
21. 21.❌ Aarav’s handwriting reader was tested on 30 new handwritten letters and got 27 right. How many did it get wrong?
22. 22.🎯 Tara’s bird-song app was tested on 25 new bird songs and got 22 right. What is its accuracy in percent?
23. 23.📋 Planning an AI project: which comes first — train the model or recheck every label? (a) train the model (b) recheck every label
24. 24.📋 Planning an AI project: which comes first — improve data, retest or label each example? (a) improve data, retest (b) label each example
25. 25.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a new colour screen (c) a louder speaker (d) fewer examples
26. 26.🎯 Ishaan’s handwriting reader was tested on 50 new handwritten letters and got 30 right. What is its accuracy in percent?
27. 27.🎯 Rohan’s spam spotter was tested on 20 new messages and got 18 right. What is its accuracy in percent?
28. 28.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
29. 29.📋 Planning an AI project: which comes first — train the model or correct bad labels? (a) train the model (b) correct bad labels
30. 30.📋 Planning an AI project: which comes first — correct bad labels or let it learn patterns? (a) correct bad labels (b) let it learn patterns
31. 31.📋 Planning an AI project: which comes first — let it learn patterns or set aside test photos? (a) let it learn patterns (b) set aside test photos
32. 32.🎯 Nisha’s bird-song app was tested on 20 new bird songs and got 15 right. What is its accuracy in percent?
33. 33.🎯 Saanvi’s bird-song app is 60% accurate. If it is tested on 50 new bird songs, how many should it get right?
34. 34.🎯 Diya’s fruit sorter is 80% accurate. If it is tested on 90 new fruit photos, how many should it get right?
35. 35.📋 Planning an AI project: which comes first — improve data, retest or choose what to sort? (a) improve data, retest (b) choose what to sort
36. 36.🎯 Diya’s fruit sorter is 70% accurate. If it is tested on 40 new fruit photos, how many should it get right?
37. 37.❌ Rohan’s spam spotter was tested on 18 new messages and got 12 right. How many did it get wrong?
38. 38.📋 Planning an AI project: which comes first — train the model or fix it and test again? (a) train the model (b) fix it and test again
39. 39.🎯 Vihaan’s leaf identifier is 50% accurate. If it is tested on 100 new leaf photos, how many should it get right?
40. 40.📋 Planning an AI project: which comes first — recheck every label or improve data, retest? (a) recheck every label (b) improve data, retest

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students